- Information about Preregistrations
- Information about Open Materials
- Information about Reproducible Codes
- Information about Open Data
Information about Preregistrations
The following recommendations on preregistration were developed by the Open Science Initiative of the WWU Münster and adopted by asp's SIG Open Science: "Preregistration is about specifying questions, hypotheses, methods and analysis protocols before a study is conducted. Ideally, each study is preregistered and hypotheses and/or exploratory questions are clearly separated and labelled as such in the preregistration. This is possible at different times (before, during or after data collection). Pre-registration before data collection is most desirable, but the transparent handling of the chosen procedure is crucial. Pre-registrations range from very short to very detailed variants. In the form of so-called preregistered reports, detailed preregistrations can be submitted as a paper to an increasing number of journals prior to data collection.
So very briefly in 5 points - preregistration ...
- ... makes clear what was planned and assumed in advance of a study and what was not.
- ... is a tool to optimise the credibility and replicability of research.
- ... allows you to claim your own ideas earlier.
- ... exists in many variants according to the diversity of research methods and available resources.
- ... is a promising new publishing option in the form of a preregistered report
Further information and specific recommendations for action can be found here:
• Modul Praeregistrierung
• Preregistration
• Registered Reports
Information about Open Materials
The following recommendations on "Open Materials" were developed by the Open Science Initiative of the WWU Münster and adopted by the asp's SIG Open Science: "Open Materials concern the transparent description, documentation and public availability of the methodological approach of a study. Open Materials thus enable precise and comprehensive communication of one's own methodological approach, an appropriate interpretation of the data collected with this approach and the results based on it, and direct replication of the methodological approach.
Specifically, "Open Materials" includes
- The documentation of all procedures, equipment, materials and recorded variables used
- The provision of this documentation on a publicly accessible online repository
- The accurate description of the relevant methods in the paper (procedure and justification of sampling, exclusion of test subjects/data, all relevant procedures and variables) plus a link to the additional public documentation (codebook, all materials)
Further information and specific recommendations for action can be found here:
Modul Open Materials
Information about Reproducible Codes
The following recommendations on "reproducible codes" were developed by the Open Science Initiative of the WWU Münster and adopted by the asp's Open Science SIG: "Reproducible codes refers to the documentation and public availability of the codes that produce the results reported in a paper from the data of a project (ideally the raw data). Reproducible codes thus enable precise and comprehensive communication of one's own analyses, exact comprehension and appropriate interpretation of these analyses and the results based on them, and direct replication of the analytical procedure.
Specifically, "Reproducible Codes" includes
- The documentation of all data processing and statistical analyses in one or more comprehensibly annotated syntax file(s)
- The provision of these files on a publicly accessible online repository
- The link to these files in the paper

Further information and specific recommendations for action can be found here:
Modul Reproducible Codes
Information about Open Data
The following recommendations on "Open Data" were developed by the Open Science Initiative of the WWU Münster and adopted by the asp Open Science SIG: "Open data is data that can be freely used, reused and shared by anyone - the only restriction concerns the obligation to name the author.
The following three points are considered key:
- Availability and free access
- Possibility of reuse and redistribution
- Universal participation
As far as possible, both the raw data and the data sets on the basis of which the final analyses were carried out should be uploaded to a secure repository and made publicly available (via a link in the manuscript). If the data or parts of the data cannot be made openly accessible, this can be mentioned and explained in the manuscript. Before the data is published, it must be anonymised so that it cannot be traced back to individuals.

Further information and specific recommendations for action can be found here:
Modul Open Data